About the Role

Hopper is seeking a Chief d'équipe, Analytique financière et optimisation IA/ML to lead our data warehouse, business intelligence, GCP/AI optimization, and AI integration within finance.

Key Responsibilities

Provide actionable insights to drive data-driven business decisions.
Lead the strategy, governance, and execution of the financial data warehouse.
Build and lead a center of excellence for cloud and performance reporting, including infrastructure management and KPIs for finance and business units.
Create, lead, implement, and measure the success of the financial AI automation roadmap in partnership with FP&A, accounting, and data teams.
Establish data pipelines and AI model foundations.
Understand and optimize our GCP infrastructure costs in partnership with engineering and finance operations (FinOps).
Establish the finance team as the single source of truth for financial and business performance, and create self-service analytics tools for key stakeholders.
Manage a team of 4 engineers and 1 finance and strategy manager.
Implement internal controls and support external audits related to data governance.

Requirements

More than 15 years of experience in the travel and/or SaaS sector.
Bachelor's degree required; master's degree strongly preferred or equivalent experience.
Engineering background preferred.
Proficiency in SQL, Python, GCP, and data science with hands-on coding ability.
Understanding of large language model systems, prompt design, and AI model evaluation frameworks.
Familiarity with automation environments and observability tools (Amplitude, Datadog, Looker) for evaluating reliability and performance.
Strong data reconciliation skills from large, multi-source datasets.
A natural propensity for first-principles thinking - questioning assumptions, testing process resilience, and always seeking to understand the 'why' of things.
Excellent communication skills with senior management and external partners.
Comfort with ambiguity and a culture of building from zero.